# Codebook

## Shared Variables

### Variables for Experiments

* `code`: Unique identifier for MTurk participants (MTurk only).
* `label`: Unique identifier for student participants (Student only).
* `cc1` to `cc4`: Responses to comprehension check questions.
* `cc1correct` to `cc4correct`: Indicators of whether each comprehension check question was answered correctly (1 = correct, 0 = incorrect).
* `wage`: Randomly assigned wage rate for the "counting zeros" task.
* `earning`: Total earnings from the "counting zeros" task.
* `num_trials`: Number of attempts in the "counting zeros" task.
* `num_correct`: Number of correct responses in the "counting zeros" task.
* `num_incorrect`: Number of incorrect responses in the "counting zeros" task.
* `believe_income_00` to `believe_income_20`: Respondents’ estimates of the percentage of participants assigned to the high wage rate, across income levels from \$0 to \$2.0 (MTurk) or \$20 (Student).

### Demographic and Political Variables

* `gender`: Gender of respondent (0 = female, 1 = male, 2 = other).
* `year_of_birth`: Year of birth.
* `household_income`: Household income (in U.S. dollars).
* `education`: Highest level of educational attainment:
  + 0: Less than 12th grade  
  + 1: High school graduate – diploma or equivalent (e.g., GED)  
  + 2: Some college but no degree  
  + 3: Associate degree – occupational/vocational program  
  + 4: Associate degree – academic program  
  + 5: Bachelor’s degree (e.g., BA, AB, BS)  
  + 6: Master’s degree (e.g., MA, MS, MEng, MEd, MSW, MBA)  
  + 7: Professional degree (e.g., MD, DDS, DVM, LLB, JD)  
  + 8: Doctorate degree (e.g., PhD, EdD)

### Post-Experiment Questionnaire

* `post_q1`: A World Values Survey (WVS) item asking respondents to place their views on a scale from 0 to 10:  
  + 0 = “Income should be made more equal”  
  + 10 = “We need larger income differences as incentives for individual effort”

* `post_q2`: A WVS item asking respondents to place their views on a scale from 0 to 10:  
  + 0 = “In the long run, hard work usually brings a better life”  
  + 10 = “Hard work doesn’t generally bring success—it’s more a matter of luck and connections”

## Full Effort Information Condition

**Datasets**:  
* MTurk: `Observable_MTurk.csv`  
* Students: `Observable_students.csv`

### Variables

* `yo_l_xx` / `yo_h_xx` (`yo_l_00` to `yo_h_10`): Amounts transferred by the participant from their earnings in the "counting zeros" task to a recipient with either a low (`l`: \$0.10 [MTurk] / \$1 [Student]) or high (`h`: \$0.20 [MTurk] / \$2 [Student]) wage rate and a specified income level. The last two digits (`xx`) indicate the number of tables completed by the recipient. The recipient’s income is calculated as: *Income = wage rate × number of tables (`xx`)*

* `Type`: Participant’s type as identified by finite mixture regression analysis.


## Income Information Only Condition

**Datasets**:  
* MTurk: `Unobservable_MTurk.csv`  
* Students: `Unobservable_Student.csv`

### Variables

* `no_xx` (`no_00` to `no_20`): Amounts transferred by the participant from their earnings in the "counting zeros" task to a recipient with income level `xx`.
